Kashif Mazhar | Computer Science | Research Excellence Award

Mr. Kashif Mazhar | Computer Science | Research Excellence Award

Mr. Kashif Mazhar | Computer Science | Research Scholar at Motilal Nehru National Institute of Technology Allahabad | India

Computer Science professional Mr. Kashif Mazhar is an accomplished Assistant Professor and Doctoral Researcher recognized for his strong academic foundation and impactful research in Artificial Intelligence and Data Science. Mr. Kashif Mazhar currently serves as an Assistant Professor in the School of Computer Science (Data Science Cluster) at the University of Petroleum and Energy Studies (UPES), Dehradun, while pursuing his Ph.D. at Motilal Nehru National Institute of Technology (MNNIT) Allahabad, where his doctoral research focuses on Explainable Artificial Intelligence (XAI) for brain tumor MRI classification and segmentation using advanced deep learning models integrated with LIME, SHAP, and Grad-CAM. Mr. Kashif Mazhar holds an M.Tech and B.Tech from the University of Allahabad and has over five years of combined teaching and research experience, including roles as Teaching Assistant at MNNIT Allahabad, Researcher at IIM Jammu, and Data Science Instructor at Simplilearn. His research interests span Explainable AI, Medical Imaging, Social Network Analysis, and AI-driven financial analytics, supported by strong research skills in Python, data analysis, supervision, and scientific reporting. Mr. Kashif Mazhar has published in high-impact Q1 journals and is UGC-NET qualified and GATE certified, reflecting his academic excellence and competitive merit. In conclusion, Mr. Kashif Mazhar exemplifies a forward-looking academic whose interdisciplinary expertise, teaching leadership, and commitment to trustworthy AI position him as a promising contributor to future advancements in Computer Science.

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Featured Publications

Model-agnostic explainable artificial intelligence methods in finance: a systematic review, recent developments, limitations, challenges and future directions
– Artificial Intelligence Review, 2025
Decoding the black box: LIME-assisted understanding of Convolutional Neural Network (CNN) in classification of social media tweets
– Social Network Analysis and Mining, 2024
A survey on methods for explainability in deep learning models
– International Conference on Machine Intelligence, Tools, and Applications, 2024

Harry Moongela | Computer Science | Young Scientist Award

Dr. Harry Moongela | Computer Science | Young Scientist Award

Wits University, South Africa

Harry Moongela is a skilled IT professional with a strong background in Information Technology, including teaching, research, and development roles. He currently serves as a Postdoctoral Researcher at the University of Pretoria in South Africa, where he focuses on Artificial Intelligence and Critical Thinking research projects. Fluent in English and with basic knowledge of German, Harry has a rich academic and professional background that spans over a decade in various IT roles, ranging from academic positions to industry-specific consultancy.

Profile

Scopus

Education🎓

Harry holds a PhD in Information Technology from the University of Pretoria (2022), following a Master’s Degree in Information Systems from Rhodes University (2017). His undergraduate studies in Computer Science & Information Technology were completed at the University of Namibia in 2013. Additionally, Harry holds several certifications, including Cisco CCNA and a Certificate in Basic Telkom Network from Huawei University, providing him with a broad technical skill set.

Experience💼

Harry’s professional career began with roles such as a Web Developer and IT Technician. He has since advanced to academic roles, serving as a Lecturer, Course Coordinator, and Researcher at the University of Pretoria. He has also held various IT consultancy and development positions, including at Derivco Pty Ltd and Kanuga Auto Parts SA. Harry has extensive experience in IT teaching, course design, software development, and system administration.

Research Interests🔬

Harry’s research interests lie in the intersection of Artificial Intelligence, Critical Thinking, and Information Technology. His work includes publishing academic research in AI applications, computer networks, and the integration of innovative technologies in IT systems. His goal is to continue advancing research in AI to solve real-world problems and improve educational systems in IT.

Awards🏆

Harry has received multiple accolades throughout his academic journey, including being named Best IT Student at the University of Namibia (2010-2013), Best Postgraduate Student at Rhodes University (2017), and being a member of the prestigious Future Africa Futures Literacy Masterclass (2023). These awards reflect his dedication to excellence in both his studies and professional life.

Publications📚

Harry has contributed to various conference and journal publications in the field of Information Technology. Some of his notable works include research on AI in education, network security, and critical thinking in IT systems.
For detailed reading, please refer to the following articles:

A framework for using social media for organisational learning: An empirical study of South African companies”

  • Authors: Moongela, H., Hattingh, M.
  • Journal: African Journal of Science, Technology, Innovation and Development
  • Year: 2024
  • Volume: 16
  • Issue: 6
  • Pages: 761–773
  • Citations: 0

“Healthcare Supply Chain Efficacy as a Mechanism to Contain Pandemic Flare-Ups: A South Africa Case Study”

  • Authors: Maramba, G., Smuts, H., Hattingh, M., Mawela, T., Enakrire, R.
  • Journal: International Journal of Information Systems and Supply Chain Management
  • Year: 2023
  • Volume: 17
  • Issue: 1
  • Article ID: 333713
  • Citations: 3

“Perceptions of social media on students’ academic engagement in tertiary education”

  • Authors: Moongela, H., McNeill, J.
  • Conference: ACM International Conference Proceeding Series
  • Year: 2017
  • Part: F130806
  • Article ID: a23
  • Citations: 2

Conclusion🚀

Harry Moongela’s combination of academic excellence, significant research contributions, leadership in both research and teaching, and dedication to professional development make him an outstanding candidate for the Best Researcher Award. His wide-ranging expertise in information technology and commitment to advancing knowledge through research and teaching solidify his qualifications for this prestigious recognition.